The term 'Integrated Agricultural Research for Development (IAR4D),' first coined in 2003, acknowledges the complexity of the agricultural system and the need to bring together not only different related research disciplines but also multiple actors (private sector, public sector, producer organisation and policymakers) to find joint solutions to the challenges of agricultural innovation. The book is produced in response traces the evolution of the concept back to its roots in an impressive range of theories and approaches from diverse disciplines, such as constructivism, participatory acti
This study was set out to describe the operation of the agricultural multi-stakeholder platforms and assess the impact of their activities on the production and revenue of the different beneficiaries. The required data was collected from 285 stakeholders using structured questionnaires. The econometric approach based on the Local Average Treatment effect (LATE) was used to identify the impact of the participation in the MSP activities on the revenue and yield of the producers
This study aims at exploring scaling up factors that determine the successful up scaling or otherwise of agriculture innovations in Ghana. This is done through a case study approach by analysing selected agricultural innovations to determine the strategies used to scale up as well as factors that account for successes or failures of the scaling up.
Following their first formation in Indonesia over 25 years ago, Farmer Field Schools (FFS) have served as a “proof of concept” of how transformative learning can help governments, donors and development stakeholders achieve development objectives. The FFS approach, which has now been used in more than 90 countries by more than 12 million small farmers (FAO, 2016), not only creates a space in which the practical needs of smallholders to solve production-related issues can be addressed but also fosters personal and community-level transformation through empowerment.
Applied Research and Innovation Systems in Agriculture (ARISA) was implemented by CSIRO in collaboration with Indonesian partners. This multi-year program seeks to strengthen collaboration between public research organisations and agribusinesses in order to incubate and deliver technology and business solutions appropriate to smallholder farmers. The geographic focus of the program was Eastern Indonesia.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
The objective of this study was to analyse the economic and environmental impacts of the adoption of climate change adaptation strategies on farm management in Benin. The data were collected from 371 producers. Descriptive statistics, pie charts and histograms were used to represent and characterise the different adaptation strategies depending on the climatic risks experienced on the farms surveyed. The flora analysis tool EX-ACT developed by FAO allowed to evaluate greenhouse gas at farm level depending on the adaptation strategies used.
To establish an effective monitoring and evaluation system that would effectively measure progress towards achieving the project objectives and targets, different data collection methods including surveys, focus group discussions and participatory workshops were conducted. Data were collected to have an in-depth understanding of the constraints in the rice value chain and to identify intervention strategies for addressing the constraints through the value chain analysis approach.
This report describes eight relevant innovation projects caried out in Zambia.
We look at the trade-off between smallholder cocoa intensification and the ecosystem in Indonesia and investigate the determinants of environmental efficiency in cocoa production. In our analysis, we apply a distance output function that includes cocoa production and the abundance of native rainforest plants as outputs. Our data set, based on a household and environment survey conducted in 2015, allows us to analyze 208 cocoa producers with both measured and self-reported data. We find that the intensification of cocoa farms results in higher ecosystem degradation.